activity
20182022
most citedHardware-Oriented Krylov Methods for High-Performance Computing

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

math.NA2022

A Hardware-aware and Stable Orthogonalization Framework

Nils-Arne Dreier, Christian Engwer

The orthogonalization process is an essential building block in Krylov space methods, which takes up a large portion of the computational time. Commonly used methods, like the Gram…

math.NA20211 cited

Hardware-Oriented Krylov Methods for High-Performance Computing

Nils-Arne Dreier

Krylov subspace methods are an essential building block in numerical simulation software. The efficient utilization of modern hardware is a challenging problem in the development o…

math.NA2019

Strategies for the vectorized Block Conjugate Gradients method

Nils-Arne Dreier, Christian Engwer

Block Krylov methods have recently gained a lot of attraction. Due to their increased arithmetic intensity they offer a promising way to improve performance on modern hardware. Rec…

cs.MS2019

The DUNE Framework: Basic Concepts and Recent Developments

Peter Bastian, Markus Blatt, Andreas Dedner +9

This paper presents the basic concepts and the module structure of the Distributed and Unified Numerics Environment and reflects on recent developments and general changes that hap…

cs.DC2018

A high-level C++ approach to manage local errors, asynchrony and faults in an MPI application

Christian Engwer, Mirco Altenbernd, Nils-Arne Dreier +1

C++ advocates exceptions as the preferred way to handle unexpected behaviour of an implementation in the code. This does not integrate well with the error handling of MPI, which mo…